Data integration aims to provide a unified and consistent view of all enterprise wide data. The data itself may be heterogeneous and reside in difference resources (XML files, legacy systems, ...

Redis Inc. today updated its namesake database with a set of new features designed to ease software development for customers. Some of the enhancements are rolling out for the core open-source version ...

A new tool at its Tisch Cancer Center helps improve accuracy, efficiency and patient access by streamlining information from the Epic EHR to clinical trial platforms.

Data integration is increasingly critical to companies’ ability to win, serve and retain their customers. Enterprises face increasing data integration challenges, primarily due to the growing volume ...

In transport, deep learning models are being used for traffic prediction and autonomous mobility networks. In environmental ...

JPA-based applications can't connect to a database on their own. Rather, they need help in terms of what credentials to use, which schema to seek, which JDBC driver to select and which annotated ...

With its new ‘Computer’ tool, the generative AI firm hopes to make it easier for companies to glean new context from often-siloed data.

Using the hub-and-spoke model of a centralized data hub, businesses can easily achieve their real-time data goals, says Hanadi Salameh, an Enterprise Digital Architect at Cognizant. When I speak with ...

In MarTech’s “MarTechBot explains it all” feature, we pose a question about marketing to our very own MarTechBot, which is trained on the MarTech website archives and has access to the broader ...